Szczegóły publikacji
Opis bibliograficzny
Coregistration of selected sequences in MRI imaging based on edge analysis of image difference / Mikołaj Najda, Rafał Obuchowicz, Adam PIÓRKOWSKI // W: Progress on Pattern Classification, Image Processing and Communications : proceedings of the CORES and IP&C Conferences 2023 / eds. Robert Burduk, [et al.]. — Cham : Springer, cop. 2023. — (Lecture Notes in Networks and Systems ; ISSN 2367-3370 ; LNNS 766). — ISBN: 978-3-031-41629-3; e-ISBN: 978-3-031-41630-9. — S. 101–109. — Bibliogr., Abstr. — Publikacja dostępna online od: 2023-12-01
Autorzy (3)
- AGHNajda Mikołaj
- Obuchowicz Rafał
- AGHPiórkowski Adam
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 150830 |
|---|---|
| Data dodania do BaDAP | 2023-12-16 |
| DOI | 10.1007/978-3-031-41630-9_11 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Lecture Notes in Networks and Systems |
Abstract
This paper discusses the challenges of maintaining consistent image sequences during patient examinations. One of the key issues that arises during MRI is the patient’s inability to maintain a constant position, thus resulting in image shifts that impede image fusion and subsequent diagnostic quality. To address this, coregistration is employed, which involves aligning two or more images based on a reference image to minimize shifts between them. This is a crucial step in preparing data for analysis and can lead to previously overlooked images becoming important components of medical solutions. In this study, a novel measurement of coregistration effectiveness is presented that includes normalization, difference, Top-hat transformation filtering, and global thresholding to achieve image similarity. Mean squared error and the structural similarity index measure are utilized as references against which the described method is compared. The outcomes of the measurements are presented and discussed. The results demonstrate the efficacy of the proposed metrics of coregistration effectiveness in facilitating a more accurate and comprehensive analysis of MRI data. Due to the achieved results, the main purpose is feasible.
